Elasticsearch vs Google Vertex AI Vector Search
Which one do AI engines recommend, and how do they differ on price, fit and features?
The short answer
Elasticsearch is the stronger AI pick in Vector Databases: it has a visibility score of 14.3 versus 1.5 for Google Vertex AI Vector Search, and ranks ahead in 100% of the answers that name both.
Choose Elasticsearch if…
- You want the brand AI engines rank higher (14.3 vs 1.5)
- You need SOC 2 Type II or ISO/IEC 27001 or ISO/IEC 27017 or ISO/IEC 27018 or ISO/IEC 27701 or FedRAMP Moderate or FedRAMP High or PCI DSS or HIPAA or CSA STAR coverage
- Strongest general enterprise choice for vector search alongside full-text search, logs, and analytics
- Widely deployed, often cited as the most widely deployed vector-capable search engine
Choose Google Vertex AI Vector Search if…
- You prefer a larger, established vendor (5,000+ employees)
AI visibility side by side
Latest weekly run · Nov 2
| Metric | Elasticsearch | Google Vertex AI Vector Search |
|---|---|---|
| Visibility score | 14.3% | 1.5% |
| Change vs last week | New | New |
| Rank in Vector Databases | #7 | #21 |
| Share of voice | 5.1% | 0.5% |
| Mentions this run | 24 | 3 |
| Positive in AI answers | 30% | — |
The stronger value in each row is marked with a ✓.
Visibility score trend
Weekly runs over the last 60 days
Elasticsearch 0pp · Google Vertex AI Vector Search 0pp over 0 weekly runs.
Engine by engine
Elasticsearch leads on 3 of 3 engines
Head to head in AI answers
1 engine answers name both brands
| Prompt | Engine | Elasticsearch | Google Vertex AI Vector Search |
|---|---|---|---|
| What should a vector database integrate with? | ChatGPT | #3 | #5 |
Features, pricing & fit
| Dimension | Elasticsearch | Google Vertex AI Vector Search |
|---|---|---|
| Deployment | Elastic Cloud Serverless, Elastic Cloud Hosted, or self-managed on premises, in private, hybrid or air-gapped environments. | Fully managed service on Google Cloud |
| Compliance | SOC 2 Type II, ISO/IEC 27001, ISO/IEC 27017, ISO/IEC 27018, ISO/IEC 27701, FedRAMP Moderate, FedRAMP High, PCI DSS, HIPAA, CSA STAR | — |
| Support | Four support tiers depending on Elastic Cloud subscription tier, 99.95% monthly uptime SLA for Platinum and Enterprise tiers | — |
| Founded | 2012 | — |
| Headquarters | San Francisco, California | — |
| Employees | 1,001–5,000 | 5,000+ |
| Funding | IPO (NYSE) | — |
| Best for | Teams building AI search, RAG and vector applications, and organizations that want search, observability and security on one data platform. | — |
Pros and cons
Themes from the AI answers that mention each brand
Elasticsearch
- Strongest general enterprise choice for vector search alongside full-text search, logs, and analytics
- Widely deployed, often cited as the most widely deployed vector-capable search engine
- Hybrid keyword-plus-semantic search via dense vectors and inverted indexes
- Suited to consolidated stacks and broader search, logging, analytics, or observability platforms
- Existing infrastructure can be leveraged
- Smaller community and ecosystem than PostgreSQL, MySQL, MongoDB
Google Vertex AI Vector Search
Profile in progress.
Data collected ·ChatGPT, Perplexity, Google AI Mode·coverage 100%·next run
Cite as: SlateIndex, “Elasticsearch vs Google Vertex AI Vector Search”, https://slateindex.ai/compare/elasticsearch-vs-google-vertex-ai-vector-search, data of Nov 2, 2026. Licence: CC BY 4.0.